It also comes with a collection of pre-trained models whose performance has already been reported throughout the paper in Table REF  for voice activity detection, Table REF  for speaker change detection, Table REF  for overlapped speech detection, and Table REF  for speaker embedding. While speaker embeddings were trained and tested on VoxCeleb [1]}, all other models (including the full diarization pipeline) were trained, tuned, and tested on three different datasets, covering a wide range of domains: meetings for AMI [2]}, broadcast news for ETAPE [3]}, and up to 11 different domains for DIHARD [4]}.
